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Paper Citation Record · LEDGER

A Transformer-based Generative Model for De Novo Molecular Design

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.08749.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2210.08749 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:48:48.877675Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T12:00:52.567019Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cde12b7c-905d-42cd-98d8-898370dc4dc9 · inbound

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization cites this paper.

ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization A Transformer-based Generative Model for De Novo Molecular Design

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T17:48:48.877675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:48:48.877675Z digest=sha256:66b233ba060ee15f39bd2f64b833d28ecefa03a4903fdc8f7b19f766fcc60926

Observation a1f09a2c-c32c-48a5-a25e-e8440e15d775 · inbound

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders cites this paper.

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders A Transformer-based Generative Model for De Novo Molecular Design

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:00:52.572945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:00:52.520438Z digest=sha256:7b020cf384e58eea57680c7c7a383c5b8c99fed47c345710280275a2d53d0993